As AI becomes embedded in everyday business operations, cybersecurity is no longer just the responsibility of the security team. It is a shared responsibility that depends on people, processes, and culture. While organizations continue to invest in advanced technologies, the most resilient security programs are built on employees who understand risk, embrace accountability, and make security-conscious decisions every day.

Join Kristie Pfosi, Global CISO at Marelli, for a fireside conversation on what it takes to build and sustain a strong cybersecurity culture in the age of AI. Drawing on her experience leading security across a global enterprise, Kristie will share practical strategies for creating executive alignment, empowering employees, strengthening trust in AI adoption, and embedding security into the way the business operates. Attendees will leave with insights on how security leaders can move beyond awareness training to foster a culture where cybersecurity becomes a business enabler and a competitive advantage.

Most security programs measure effort — not outcomes. Organizations patch thousands of vulnerabilities, deploy dozens of tools, and run annual tabletop exercises… but when an attacker shows up, none of that matters.  What matters is whether they can prove their defenses actually work.  

In this talk, Horizon3.ai shares how leading organizations are using autonomous pentesting to see their environment through the attacker’s eyes — continuously, safely, and at scale. By shifting from assumptions to proof, they’ve learned to:

• Prioritize what’s exploitable. Focus limited resources on the weaknesses that truly put the business at risk that are known to be abused by threat actors.

• Quickly fix what matters. Close the loop from find → fix → verify and reduce your exploitable attack surface.

• Reduce attacker dwell time. Use pentest results to precisely deploy honeyTokens to detect compromise early, and to continuously prove your EDR and SIEM are tuned and working as intended.  

Cyber resilience isn’t about being perfect — it’s about getting better over time. And the only perspective that truly matters is the attacker’s.

AI is now both a weapon and a shield. TrendAI™ research shows malicious actors using large language models to do reconnaissance, craft convincing phishing lures, automate vulnerability research, and generate malware at scale, lowering the barrier for even less sophisticated threat groups. At the same time, defenders are using AI to correlate signals across massive attack surfaces, surface behavioral anomalies, and respond with a speed and precision that simply wasn't possible before. I'll share what we're seeing in active campaigns and how AI is fundamentally shifting the economics of defense in our favor

Abstract
AI and new digital technologies will continue to shift the cybersecurity landscape in 2026. This session explores how modern tools can enhance detection, response, and decision making while introducing new risks tied to generative systems, data integrity, and fast moving threat innovation. Leaders will gain a clear view of how to adopt emerging technology in a responsible and strategic way that supports resilience and aligns with enterprise risk goals.

Key Takeaways
• How AI and emerging tech are reshaping core security functions
• The new risks created by generative models and evolving attack techniques
• Practical governance steps that support responsible AI use
• Examples of organizations pairing innovation with disciplined risk management

As AI becomes embedded in critical business processes, organizations need new approaches to assess and manage the unique risks these systems introduce. In this session, Stephen Fox will explore how AI threat modeling can provide a practical framework for governing, securing, and auditing AI deployments. Attendees will learn how to identify AI-specific risks, strengthen oversight, support compliance efforts, and build greater confidence that AI systems remain secure, trustworthy, and aligned with organizational objectives.

Attackers are using AI to craft realistic hacks against an organization's weakest link, their employees. Leveraging AI for more complex attacks, such as creating deepfakes, performing voice cloning and analyzing social media along with online data to craft personalized attacks against organizations. During the presentation, we will explore how deepfake vides are created, voice cloning technologies are leveraged, and how AI can be used craft a phishing email. In addition, we will highlight ways to identify and mitigate against the increasing threats that leverage AI.

Adopting a risk-based mindset significantly enhances cyber resilience by enabling organizations to prioritize resources on protecting high-value assets, mitigate threats more effectively, and adapt dynamically to an evolving landscape. This strategic approach shifts focus from prevention to containment of breach, ensuring a more agile, efficient, and robust cybersecurity posture capable of minimizing the impact of cyberattacks.

Autonomous vehicles are redefining transportation, but they are also expanding the cybersecurity landscape in unprecedented ways. As vehicles become increasingly software-defined, connected, and AI-driven, security is no longer just about protecting data, it is about protecting human safety, operational resilience, and public trust.

In this fireside chat, Hemanth Tadepalli, Senior Cybersecurity and Compliance SME at May Mobility, will explore the evolving cybersecurity challenges facing autonomous vehicle technology. From securing complex sensor ecosystems and over-the-air software updates to meeting emerging regulatory requirements and managing supply chain risk, this discussion will examine what it takes to build resilient autonomous mobility platforms. Attendees will gain practical insights into how the automotive industry is balancing rapid innovation with rigorous security, what lessons enterprises can learn from safety-critical systems, and why cybersecurity must remain a foundational element of the future of transportation.

As AI approaches Artificial General Intelligence (AGI), it will supercharge cyber defense—and enable autonomous attacks that move faster than human-led controls, expanding risk from isolated bugs to systemic failures in decision-making and governance. We’ll examine the AGI security paradox, bio-compute convergence threats, and privacy risks like automated data mining and sensitive inference, then share practical mitigation strategies. Join the session to assess your exposure and leave with immediate, actionable steps.

The cybersecurity talent shortage cannot be solved by hiring alone. It begins by inspiring students early, creating accessible pathways into the profession, and connecting education with real-world experience.

Join Donna Davis, Secretary/Treasurer of the Michigan CyberPatriot Program (MCISSE), for a fireside discussion on how Mi CyberPatriot is developing the next generation of cybersecurity professionals. Through hands-on competitions, summer camps, mentorship, digital badging, and partnerships with schools, universities, government, and industry, the program introduces middle and high school students to cybersecurity while building a pipeline of future talent for Michigan and beyond.

This conversation will explore what it takes to cultivate cyber talent at scale, why mentorship is one of the industry's greatest force multipliers, and how security leaders can play a direct role in strengthening tomorrow's workforce. Attendees will leave with practical ideas for supporting youth cybersecurity initiatives, engaging with local education programs, and helping ensure the next generation is prepared to defend an increasingly digital world.

AI is redefining how companies innovate, compete, and create value. As AI capabilities accelerate, organizations are discovering that leadership in the AI era will not be determined solely by the sophistication of the technology, but by the strength of the governance that enables trust, accountability, and resilience at scale.

Governance, Risk, and Compliance (GRC) is emerging as the strategic function that transforms responsible AI adoption from a challenge into a business advantage. Like a steering wheel, GRC provides the direction, discipline, and confidence leaders need to align AI innovation with business objectives, navigate complexity, and unlock the transformative potential of AI responsibly.

Attendees will gain practical insights into how forward-thinking organizations are building AI governance capabilities that accelerate innovation, strengthen enterprise resilience, and enable confident decision-making